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Md Abdul Aowal aowal

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  • UMass Amherst
  • Amherst, Massachusetts
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@mjdietzx
mjdietzx / residual_network.py
Last active March 26, 2024 06:33
Clean and simple Keras implementation of residual networks (ResNeXt and ResNet) accompanying accompanying Deep Residual Learning: https://blog.waya.ai/deep-residual-learning-9610bb62c355.
"""
Clean and simple Keras implementation of network architectures described in:
- (ResNet-50) [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385.pdf).
- (ResNeXt-50 32x4d) [Aggregated Residual Transformations for Deep Neural Networks](https://arxiv.org/pdf/1611.05431.pdf).
Python 3.
"""
from keras import layers
from keras import models
@eamartin
eamartin / notebook.ipynb
Last active April 22, 2025 08:11
Understanding & Visualizing Self-Normalizing Neural Networks
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@N-McA
N-McA / keras_spatial_bias.py
Last active November 13, 2019 19:15
Concatenates the (x, y) coordinate normalised to 0-1 to each spatial location in the image. Allows a network to learn spatial bias. Has been explored in at least one paper, "An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution" https://arxiv.org/abs/1807.03247
import keras.backend as kb
from keras.layers import Layer
def _kb_linspace(num):
num = kb.cast(num, kb.floatx())
return kb.arange(0, num, dtype=kb.floatx()) / (num - 1)
def _kb_grid_coords(width, height):
w, h = width, height